Papers
8
Total Citations
487
H-Index
7
About
Piero Cosi is a leading researcher in child-robot interaction, focusing on how social robots can build long-term, adaptive relationships with young users. His work centers on multimodal communication—combining speech, gesture, and emotional body language—to create robots that respond naturally to children’s social cues. Cosi’s most influential contribution is his role in the ALIZ-E project, which developed strategies for sustainable, multi-activity social interaction between robots and children. His landmark 2013 paper, “Multimodal Child-Robot Interaction: Building Social Bonds,” has garnered 206 citations, establishing foundational principles for designing robots that engage children over extended periods. In a highly cited 2015 study (101 citations), he demonstrated how multi-activity switching can maintain children’s engagement, a critical insight for educational and therapeutic applications. Cosi also pioneered the interpretation of emotional body language in humanoid robots, with a 2013 paper (75 citations) showing how children perceive robot emotions. His work on event-based conversational systems and spoken language processing for the Nao robot has advanced real-time dialogue capabilities. By integrating speech recognition, gesture interpretation, and gamified tasks, Cosi has created practical frameworks for robots that support learning and health communication, making him a pivotal figure in long-term child-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Child-Robot Interaction: Building Social Bonds206 citations · 2013
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- 4Long-term human-robot interaction with young users50 citations · 2011
- 5Children Interpretation of Emotional Body Language Displayed by a Robot20 citations · 2011
- 6An Event-Based Conversational System for the Nao Robot16 citations · 2011
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